Local ternary patterns: Difference between revisions

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{{Short description|Image processing process}}
{{refimprovemore citations needed|date=November 2012}}
 
'''Local ternary patterns''' (LTP) are an extension of [[local binary patterns]] (LBP).<ref>{{Cite journal |last=Xiaoyang Tan |last2=Triggs |first2=Bill |date=June 2010-06 |title=Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions |url=http://ieeexplore.ieee.org/document/5411802/ |journal=IEEE Transactions on Image Processing |volume=19 |issue=6 |pages=1635–1650 |doi=10.1109/TIP.2010.2042645 |issn=1057-7149}}</ref><ref>{{Cite journal |last=Ji |first=Luping |last2=Ren |first2=Yan |last3=Pu |first3=Xiaorong |last4=Liu |first4=Guisong |date=2018-07-01 |title=Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification |url=https://ui.adsabs.harvard.edu/abs/2018PatRe..79..387J |journal=Pattern Recognition |volume=79 |pages=387–401 |doi=10.1016/j.patcog.2018.02.009}}</ref> Unlike LBP, it does not threshold the pixels into 0 and 1, rather it uses a threshold constant to threshold [[Pixel|pixelspixel]]s into three values. Considering k as the threshold constant, c as the value of the center pixel, a neighboring pixel p, the result of threshold is:
 
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==References==
{{Reflist}}
 
 
[[Category:Computer vision]]